Localization of brain activity from EEG/MEG using MV-PURE framework
نویسندگان
چکیده
We consider the problem of localization sources brain electrical activity from electroencephalographic (EEG) and magnetoencephalographic (MEG) measurements using spatial filtering techniques. propose novel reduced-rank indices based on minimum-variance pseudo-unbiased estimation (MV-PURE) framework. The main results this paper establish key unbiasedness property proposed their higher resolution compared with full-rank in challenging task localizing closely positioned possibly highly correlated sources, especially low signal-to-noise regime. Numerical examples are provided to illustrate practical applicability both simulated real data.
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ژورنال
عنوان ژورنال: Biomedical Signal Processing and Control
سال: 2021
ISSN: ['1746-8094', '1746-8108']
DOI: https://doi.org/10.1016/j.bspc.2020.102243